Pi

PicnicHR – Simple HR and time-off tracking for your team

Hacker News

PicnicHR – Simple HR and time-off tracking for your team

Hey HN! Picnic started as a side-project during lockdown for internal use, and we recently decided to share with the world as a full product. There's a lot of leave / time-off management applications out there, quite a few we've tried.. We hope Picnic is a more accessible solution, particularly for smaller businesses. An overview of Picnic functionality: - Employees can submit requests for vacation and other time-off, and be notified of their manager's response - Managers and supervisors can process requests for leave, and provide explanation - Team members can view their personal calendar, and managers can view their team's calendar to see upcoming time off, and plan resourcing - Browse all company employees in the employee directory (with the option to make the list visible to all employees, or managers only) - Manage employees information, including personal details, and emergency contacts Picnic is HR software designed to scale to companies of any size, but is especially suited to small and medium businesses. We'd welcome your thoughts on the product, and where we might develop it further!

Visit product View on Hacker NewsAug 29, 2023

Actual performance

3points

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, including · Missing: supports, reddit linkedin, podcasting

92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io, including · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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